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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Dermatological diseases and infestations
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

362 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
362 works in the cohort · of 4,299,418page 5 of 8

Labels cover 1 of 362 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 362 of 362 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Scabies and Pseudoscabies
Wingfield Rehmus, Julie Prendiville
2019· other· en· Harper's Textbook of Pediatric Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Bedbugs
Amy Freedman, Lorna McDougall, Penny Lamy
2023· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
A Case for Lice
Alyshia Reesor
2021· article· en· Pathways· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Response to Viani
Eres A. Gomez, Sofi Hindmarch, Jennifer A. Smith
2022· article· en· Journal of Raptor Research· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Parasitology Cases
Marc Roger Couturier, Cameron A. Brown, Angela Ma, Audrey N. Schuetz, James J. Dunn
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Ehrlichiosis canina
Javier A. Benavides, Gines F. Ramírez
2016· article· es· Revista Colombiana de Ciencias Pecuarias· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Huidaandoeningen na terugkeer uit de tropen
Marlous Grijsen, Jim E. Zeegelaar, Henry J.C. de Vries
2015· article· nl· Huisarts en Wetenschap· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Animal Behavior Case of the Month
Michelle Lem
2006· article· en· Journal of the American Veterinary Medical Association· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Dancers in COVID‐19
Madison Le Gallee, Kendall Billick
2022· article· en· JEADV Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Physical Geology
2015· book· en· BiblioBoard Library Catalog (Open Research Library)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Field Efficacy and Safety of Felpreva® (Tigolaner, Emodepside and Praziquantel) Spot-On for the Treatment of Natural Ear Mite Infestations (Caused by <i>Otodectes Cynotis</i>) and Notoedric Mange (Caused by <i>Notoedres Cati</i>) in Cats
Katrin Blazejak, Dejan Cvejić, Klaus Hellmann, Hannah Ringeisen, Hannah Hamburg, Gabriele Petry +2 more
2023· preprint· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Scabies
2015· article· en· PubMed Central· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Punaises de lit
Amy Freedman, Lorna McDougall, Penny Lamy
2023· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The louse is (no longer) in the house.
Michael R. Kolber, Michael Pierse, Tony Nickonchuk
2016· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Phtiriase palpébrale
Liwen Zhang, Tao Chen, Ronghua
2023· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
The nitty-gritty on nits
Chris Hemond
2012· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Scabies
Wendemagegn Enbiale, Ashenafi Ayalew, Henry J.C. de Vries
2024· book-chapter· en· Neglected tropical diseases· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Scabies: a historical perspective
Joseph M. Lam, Wingfield Rehmus
2024· article· en· International Journal of Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About